Hands-On Artificial Intelligence for Cybersecurity

Mining data for models

The difference in approach compared to the predefined static models is also reflected in the research field known as data mining.

An adequate definition of the data mining process consists of the discovery of adequate representative models, starting with the data. Also, in this case, instead of adopting pre-established statistical models, we can use ML algorithms based on the training data to identify the most suitable predictive model (this is more true when we are not able to understand the nature of the data at our disposal).

However, the algorithmic approach is not always adequate. When the nature of the data is clear and conforms to known models, there is no advantage in using ML algorithms instead of pre-defined ...